Ageing reshapes the resting-state network landscape of the human brain
Ageing alters brain rhythms and large-scale functional organisation, but whether these changes reflect isolated effects or a coordinated reconfiguration remains unclear. We applied Frequency-resolved Network Estimation via Source Separation (FREQ-NESS) to source-reconstructed resting-state MEG from 164 healthy younger and older adults across two independent datasets. FREQ-NESS revealed that…
A study has revealed that aging brings about significant changes in the brain's resting-state network, affecting its frequency organization and spatial expression. Using Frequency-resolved Network Estimation via Source Separation (FREQ-NESS) on resting-state MEG data from 164 healthy younger and older adults, researchers found that older adults exhibit altered alpha-network peak frequencies and a flatter decay of network prominence from alpha to beta frequencies.
These spectral variations were accompanied by shifts in the spatial distribution of dominant networks along the lateral, posterior-anterior, and inferior-superior axes. Unlike a uniform anatomical shift, the impact of aging varied depending on the frequency, suggesting a selective reconfiguration of whole-brain activity prominence and spatiotemporal expression.
Overall, the findings indicate that healthy aging is characterized by a reshaped configuration of endogenous brain networks, rather than a simple loss of network organization.
Written by urgent.news from bioRxiv's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
